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#LLM optimization

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#LLM optimization19/10/2025

BitDistill: Microsoft’s 1.58‑Bit Pipeline Cuts Memory by 10× and Speeds CPU by ~2.65×

'Microsoft Research presents BitNet Distillation: a three‑stage pipeline that converts FP16 models to 1.58‑bit students, delivering up to 10× memory reduction and ~2.65× CPU speedup while preserving accuracy.'

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#LLM optimization12/09/2025

BentoML's llm-optimizer Automates LLM Inference Benchmarking and Tuning

'BentoML launched llm-optimizer to automate benchmarking and tuning of self-hosted LLMs and published a browser-based LLM Performance Explorer with pre-computed results.'

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#LLM optimization22/06/2025

Nano-vLLM: A Lightweight, Open-Source Python Implementation of vLLM by DeepSeek Researchers

DeepSeek researchers released nano-vLLM, a compact and efficient Python implementation of the vLLM engine that balances simplicity with performance for LLM inference.

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